Book Image

The Definitive Guide to Modernizing Applications on Google Cloud

By : Steve (Satish) Sangapu, Dheeraj Panyam, Jason Marston
Book Image

The Definitive Guide to Modernizing Applications on Google Cloud

By: Steve (Satish) Sangapu, Dheeraj Panyam, Jason Marston

Overview of this book

Legacy applications, which comprise 75–80% of all enterprise applications, often end up being stuck in data centers. Modernizing these applications to make them cloud-native enables them to scale in a cloud environment without taking months or years to start seeing the benefits. This book will help software developers and solutions architects to modernize their applications on Google Cloud and transform them into cloud-native applications. This book helps you to build on your existing knowledge of enterprise application development and takes you on a journey through the six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining. You'll learn how to modernize a legacy enterprise application on Google Cloud and build on existing assets and skills effectively. Taking an iterative and incremental approach to modernization, the book introduces the main services in Google Cloud in an easy-to-understand way that can be applied immediately to an application. By the end of this Google Cloud book, you'll have learned how to modernize a legacy enterprise application by exploring various interim architectures and tooling to develop a cloud-native microservices-based application.
Table of Contents (26 chapters)
1
Section 1: Cloud-Native Application Development and App Modernization in Google Cloud
5
Section 2: Selecting the Right Google Cloud Services
10
Section 3: Rehosting and Replatforming the Application
17
Section 4: Refactoring the Application on Cloud-Native/PaaS and Serverless in Google Cloud

Refactoring the database

A key concept of microservices is that they are independent of each other. This means that they should have separate databases. However, we would not want each microservice to have a copy of the tables used for authentication as this would lead to an unhealthy quantity of duplicated data. It would also lead to the risk of the authentication data getting out of sync. For this reason, we need a way of using two separate databases in a single microservice. These are the database for the service and the database for authentication.

Fortunately, there is a way to accomplish this using Spring Boot by making changes only to our configuration code and not our implementation code.

Our configuration for persistence was as follows:

@Configuration
@EnableJpaRepositories(
basePackages = {"uk.me.jasonmarston.domain.repository"})
@EnableTransactionManagement
public class PersistenceConfig {
}

The preceding configuration class simply enabled Spring Boot...